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Notebooklm may take a while to generate the video overview, feel free to come back to your notebook later. You can then edit the draft as needed This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the.
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It is designed to comprehensively assess the capabilities of mllms in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. Wan2.1 offers these key features: All you need to do is enter a description Gemini then generates a draft—including a script, ai voiceover, scenes, and content—for the video
